You will design, train, and deploy LLM-based recommender systems while managing the full lifecycle from raw data to production. The role involves collaborating with science teams to implement large-scale distributed training and low-latency inference solutions.
You will lead the design and implementation of an evaluation framework for enterprise planner-based agents, benchmarking performance across various models and optimization levers. This role involves building simulation tools, conducting statistical experiments, and delivering actionable, data-driven recommendations to clients.
You will design and deliver cloud-native applications on AWS while collaborating with cross-functional teams to implement scalable, secure, and maintainable systems. The role involves integrating AI and LLM services into production workflows and mentoring junior engineers to maintain high architectural standards.
You will own a portfolio of enterprise accounts, driving revenue growth, delivery quality, and multi-year account strategy. You are responsible for building trusted-advisor relationships with C-suite stakeholders and leading the firm's thought leadership in the Energy and Utilities sector.
The SVP, Client Partner owns a portfolio of enterprise healthcare accounts, driving revenue growth, delivery quality, and multi-year account strategy. They act as a trusted advisor to C-suite stakeholders while leading cross-functional teams to ship production-ready AI solutions.
The Senior Delivery Manager owns the end-to-end execution of complex, cross-functional AI engagements from kickoff through release. They lead distributed teams, manage delivery KPIs, and serve as the primary partner to clients to ensure production-ready AI outcomes.
Lead the design and delivery of agentic AI systems, including RAG pipelines and multi-agent orchestration. Establish engineering standards and mentor team members while owning the end-to-end development and reliability of production AI features.
The Technical Program Manager will lead large-scale AI and cloud transformation programs, bridging the gap between business goals and technical execution. They are responsible for managing multi-workstream delivery, facilitating architecture discussions, and ensuring stakeholder alignment across the program lifecycle.
Lead end-to-end product delivery for complex GenAI and agentic AI engagements, from discovery through production rollout. Define agent behavior, manage roadmaps, and communicate technical tradeoffs to executive stakeholders.
The Testing Engineer will write and maintain automated test scripts for UI, API, and integration testing while validating AI/ML model outputs and data pipelines. They will collaborate with cross-functional teams to integrate quality practices into CI/CD pipelines and ensure the reliability of AI systems.
Define platform engineering strategy and own secure, reliable, scalable cloud infrastructure across environments, including Kubernetes, infrastructure as code, DevSecOps, observability, and AI/ML platforms. Lead migrations and modernization, establish engineering standards, mentor engineers, and align platform decisions with business and delivery goals.
You will design, build, and deploy predictive and prescriptive models to solve complex business challenges while leading end-to-end ML and GenAI projects. Additionally, you will mentor junior data scientists and collaborate with cross-functional teams to ensure scientific rigor and production-ready solutions.
You will design, build, and deploy predictive and prescriptive models to solve complex business challenges while leading end-to-end ML and GenAI projects. Additionally, you will mentor junior data scientists and communicate scientific methodologies to both technical and non-technical stakeholders.
The Principal Data Architect will define the technical direction for data platforms, including warehouses, lakehouses, and streaming systems to support AI/ML at scale. They will also partner with leadership and clients to drive data strategy, governance, and architectural standards across the organization.
Lead end-to-end AI and digital strategy engagements, from discovery and problem framing to roadmap creation and pilot planning. Facilitate high-impact client sessions and translate complex business needs into actionable technical requirements for cross-functional teams.
You will design and optimize scalable data architectures, pipelines, and governance frameworks to support enterprise-grade AI/ML systems. Additionally, you will provide technical leadership, mentor junior engineers, and collaborate with cross-functional teams to drive data platform modernization.
The Principal Data Scientist will serve as the technical lead for an agentic AI program, overseeing architecture, evaluation standards, and delivery across multiple workstreams. They will partner with executive leadership to define the AI roadmap and ensure high-quality, scalable AI systems are deployed in production.
Define and lead complex AI and digital strategy engagements from discovery through delivery for major clients. Build senior-level relationships, mentor strategy team members, and contribute to the growth and evolution of the firm's strategy practice.
The Staff Security Engineer will define security architecture and standards for cloud applications and AI systems while leading threat modeling and security reviews. They will also mentor junior engineers and partner with cross-functional teams to ensure secure, reliable, and production-ready AI integrations.
You will train and operate large-scale models on Amazon SageMaker using AWS Trainium hardware. You will also optimize PyTorch training code and build cost-aware production pipelines for enterprise clients.
Define and lead platform engineering strategy across complex, multi-environment cloud systems while owning infrastructure architecture end-to-end. Drive DevSecOps, platform reliability, and the design of AI/ML infrastructure to support production-ready AI deployments.
Design end-to-end UX/UI deliverables from early concepts to high-fidelity execution while maintaining design systems. Collaborate with client product teams, engineers, and strategists to deliver intuitive AI-integrated experiences.
Lead the design and delivery of complex, enterprise-grade generative and agentic AI systems on AWS. Serve as a strategic technical advisor to clients while providing architectural oversight to engineering teams.
The Staff Data Engineer will define data architecture and platform strategy while leading the design of scalable data lakes, warehouses, and pipelines. They will also mentor junior engineers and collaborate with cross-functional teams to integrate AI-forward solutions into enterprise operations.
Define and execute product strategy and vision for major client engagements while driving cross-functional alignment across engineering and design teams. Lead complex discovery processes and maintain trusted advisor relationships with senior client stakeholders to ensure successful product delivery.
The Staff UX/UI Designer will define design strategy for complex multi-platform products and lead end-to-end design across major client engagements. They will also own design system architecture, drive research strategy, and mentor junior designers while championing AI-powered workflows.
Lead the design and implementation of complex AI/ML systems within client environments while driving solutions from research through production. Collaborate with client teams to translate business problems into scalable AI architectures and mentor junior engineers to ensure high-quality delivery.
The Principal AI Engineering Architect will lead the design and delivery of complex, production-grade multi-agent AI systems across cloud and data platforms. They will serve as the senior technical authority, driving technical strategy while mentoring engineers and ensuring high-stakes architectural decisions align with business goals.
Lead the end-to-end design and delivery of scalable AI/ML systems and agentic architectures. Establish engineering standards and mentor junior engineers while aligning technical AI strategy with business outcomes.
Lead the design and delivery of enterprise-grade generative and agentic AI systems using AWS-native services. Serve as a strategic technical advisor to clients, translating business needs into scalable, secure, and production-ready AI architectures.
